AdmiralTaco's picture
Upload PPO LunarLander-v2 trained agent
0ba35bd
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f87578517a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8757851830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f87578518c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8757851950>", "_build": "<function ActorCriticPolicy._build at 0x7f87578519e0>", "forward": "<function ActorCriticPolicy.forward at 0x7f8757851a70>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8757851b00>", "_predict": "<function ActorCriticPolicy._predict at 0x7f8757851b90>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8757851c20>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8757851cb0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8757851d40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f87578a2420>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1651765308.0547204, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.007616000000000067, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVMhAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI+5C3XH1scUCUhpRSlIwBbJRL+4wBdJRHQJtgpsXSBsh1fZQoaAZoCWgPQwjCa5c2XLFyQJSGlFKUaBVL0mgWR0CbYKtJnQIEdX2UKGgGaAloD0MIaOxLNh5TcUCUhpRSlGgVS+ZoFkdAm2D9wBHTZ3V9lChoBmgJaA9DCDXTvU7qwHJAlIaUUpRoFUvuaBZHQJthGnbZezF1fZQoaAZoCWgPQwjbp+Mxg7FxQJSGlFKUaBVLy2gWR0CbYWOgxrSFdX2UKGgGaAloD0MIJv+Tv3sNTECUhpRSlGgVS7RoFkdAm2KsV58jRnV9lChoBmgJaA9DCFfp7jqbeXBAlIaUUpRoFUvlaBZHQJtjNj0+TvB1fZQoaAZoCWgPQwgzwtuD0DdxQJSGlFKUaBVLz2gWR0CbY4y/9Hc2dX2UKGgGaAloD0MIdF5jlyhFcUCUhpRSlGgVS9doFkdAm2PPjn3cpXV9lChoBmgJaA9DCHqM8szLwnJAlIaUUpRoFUvWaBZHQJtkBPwd8zB1fZQoaAZoCWgPQwgnM95WOgVzQJSGlFKUaBVL3WgWR0CbZCUNayKOdX2UKGgGaAloD0MIVRSvsja2cECUhpRSlGgVS89oFkdAm2RtVinYQXV9lChoBmgJaA9DCHwqpz0lo3JAlIaUUpRoFUu/aBZHQJtlVW1c+q11fZQoaAZoCWgPQwgVViqoaB1xQJSGlFKUaBVLyWgWR0CbZaA5q/M4dX2UKGgGaAloD0MIGArYDgbhcUCUhpRSlGgVS9RoFkdAm2XTUiILxHV9lChoBmgJaA9DCMuGNZUFunJAlIaUUpRoFU0hAWgWR0CbZh0cwQDndX2UKGgGaAloD0MIl8eakQE+cUCUhpRSlGgVS8toFkdAm2aLwz+FUXV9lChoBmgJaA9DCE8IHXSJkW1AlIaUUpRoFUvfaBZHQJtmuLR8c+91fZQoaAZoCWgPQwh9IHnn0PtuQJSGlFKUaBVL1WgWR0CbaEVzIV/MdX2UKGgGaAloD0MIGTp2UAmpckCUhpRSlGgVS7loFkdAm2jMujASF3V9lChoBmgJaA9DCKJ8QQuJV3NAlIaUUpRoFUvRaBZHQJto2SeRPoF1fZQoaAZoCWgPQwgno8owLjFxQJSGlFKUaBVLzWgWR0CbaR/Z/Tb4dX2UKGgGaAloD0MIdTqQ9dQccUCUhpRSlGgVS+xoFkdAm2qtcW0qpnV9lChoBmgJaA9DCBO3CmJgBHFAlIaUUpRoFUvsaBZHQJtq1YA80UJ1fZQoaAZoCWgPQwhoeomxjLVwQJSGlFKUaBVNBAFoFkdAm2v8dDIBBHV9lChoBmgJaA9DCFVNEHXfTnFAlIaUUpRoFUvJaBZHQJtsNf6XSjR1fZQoaAZoCWgPQwg9mBQfX61wQJSGlFKUaBVL1mgWR0CbbEi1RceKdX2UKGgGaAloD0MIuqP/5RqIcUCUhpRSlGgVS+5oFkdAm2xyTQmeDnV9lChoBmgJaA9DCAOy17t/sHFAlIaUUpRoFUvQaBZHQJts9vNu+AV1fZQoaAZoCWgPQwjPo+L/zudxQJSGlFKUaBVL7GgWR0Cbbf9nbqQjdX2UKGgGaAloD0MIF2ahndNGcUCUhpRSlGgVTRkBaBZHQJtuGK2rn1Z1fZQoaAZoCWgPQwgAxciSOZFxQJSGlFKUaBVLyGgWR0Cbb2wGnn+ydX2UKGgGaAloD0MIYf91bprRcUCUhpRSlGgVTb0CaBZHQJtvdQm/nGN1fZQoaAZoCWgPQwimttRBXmxxQJSGlFKUaBVL52gWR0Cbb5EcsDnvdX2UKGgGaAloD0MIWi4bnbPzcECUhpRSlGgVS9xoFkdAm2+0tuk1uXV9lChoBmgJaA9DCJkrg2pD2XFAlIaUUpRoFUvqaBZHQJtwFwcYIjZ1fZQoaAZoCWgPQwgxlX7CGa1xQJSGlFKUaBVL22gWR0CbcYWP91lodX2UKGgGaAloD0MInx7bMmCbcECUhpRSlGgVS81oFkdAm3KBJqZc9nV9lChoBmgJaA9DCDc10HxO7HFAlIaUUpRoFU0CAWgWR0CbcqRfF72MdX2UKGgGaAloD0MIm8qisIv0bkCUhpRSlGgVS+VoFkdAm4Xzv3JxN3V9lChoBmgJaA9DCMTMPo/R7W9AlIaUUpRoFUvjaBZHQJuGGLn9vTB1fZQoaAZoCWgPQwhKe4MvTO5yQJSGlFKUaBVL9mgWR0Cbhtg6EJ0GdX2UKGgGaAloD0MImrFoOjtQcECUhpRSlGgVS9loFkdAm4d4gvDgqHV9lChoBmgJaA9DCHKKjuRydXJAlIaUUpRoFUvcaBZHQJuHpbOeJ551fZQoaAZoCWgPQwimfAiqRtdKQJSGlFKUaBVLsWgWR0CbiFzundftdX2UKGgGaAloD0MIg94bQ4D/cECUhpRSlGgVTTABaBZHQJuJD2f02+B1fZQoaAZoCWgPQwgaogp/hh1yQJSGlFKUaBVL5mgWR0CbiY2KEWZadX2UKGgGaAloD0MI+0DyzuG5cECUhpRSlGgVTQUBaBZHQJuKORnvlU91fZQoaAZoCWgPQwgOoUrN3kdzQJSGlFKUaBVNGQFoFkdAm4sHMhX8wnV9lChoBmgJaA9DCLWoT3KH7XFAlIaUUpRoFUvpaBZHQJuLsLqlgtx1fZQoaAZoCWgPQwg26Etvf4ByQJSGlFKUaBVLxWgWR0CbjCPtD2J0dX2UKGgGaAloD0MIZB75g0HgcUCUhpRSlGgVS+BoFkdAm4yJ1ie/YnV9lChoBmgJaA9DCI+rkV3pFHFAlIaUUpRoFUvkaBZHQJuMireZXuF1fZQoaAZoCWgPQwh0YDlChixjQJSGlFKUaBVN6ANoFkdAm4zBxDLKWHV9lChoBmgJaA9DCHZR9MBH0HFAlIaUUpRoFU0lAWgWR0CbjwhESdvsdX2UKGgGaAloD0MI8KXwoNk1cUCUhpRSlGgVTRIBaBZHQJuPcKCxu891fZQoaAZoCWgPQwjqXbwf97ByQJSGlFKUaBVL92gWR0Cbj3hFmWdFdX2UKGgGaAloD0MIcGHdeHcDbkCUhpRSlGgVS89oFkdAm4+w7gbZOHV9lChoBmgJaA9DCMECmDIw2nFAlIaUUpRoFUv4aBZHQJuQQWrOqvN1fZQoaAZoCWgPQwj4wmSqYIFxQJSGlFKUaBVL3GgWR0CbkI6vJRwZdX2UKGgGaAloD0MId6IkJBIycUCUhpRSlGgVS9JoFkdAm5Do55qubXV9lChoBmgJaA9DCFD8GHOXuXFAlIaUUpRoFU03AWgWR0CbkUMUAT7EdX2UKGgGaAloD0MIMzUJ3pDuI8CUhpRSlGgVTegDaBZHQJuRdTl1bJR1fZQoaAZoCWgPQwjVl6WdWrVxQJSGlFKUaBVL9WgWR0CbkoIOYplSdX2UKGgGaAloD0MIqfbpeAxzckCUhpRSlGgVS9FoFkdAm5K9DlYEGXV9lChoBmgJaA9DCEUuOIP/BHFAlIaUUpRoFUvsaBZHQJuTKRuCPIZ1fZQoaAZoCWgPQwi9jc2OVBpwQJSGlFKUaBVL4mgWR0Cbk1wN9YwJdX2UKGgGaAloD0MI1jkGZK/PbkCUhpRSlGgVTRUBaBZHQJuT0zch1T11fZQoaAZoCWgPQwimfAiqRo9xQJSGlFKUaBVNAAFoFkdAm5PqIJqqO3V9lChoBmgJaA9DCIttUtHYem9AlIaUUpRoFUvpaBZHQJuV3lwLmZF1fZQoaAZoCWgPQwjVsN8Tq3ZzQJSGlFKUaBVL9WgWR0CblfwbVBlddX2UKGgGaAloD0MIyH2rdeIUc0CUhpRSlGgVTRcBaBZHQJuWmqBEroZ1fZQoaAZoCWgPQwg+WwcHO0hzQJSGlFKUaBVL3GgWR0CblqH58BuGdX2UKGgGaAloD0MIqOSc2MPPcUCUhpRSlGgVTQ0BaBZHQJuWr/4qPOp1fZQoaAZoCWgPQwht/l91pFhyQJSGlFKUaBVL+GgWR0CbltEmICU5dX2UKGgGaAloD0MICVOUSyPNckCUhpRSlGgVTQEBaBZHQJuXTM4cWCV1fZQoaAZoCWgPQwgH6/8cpoxwQJSGlFKUaBVNBwFoFkdAm5gybtqpLnV9lChoBmgJaA9DCGssYW2MhHFAlIaUUpRoFUvnaBZHQJuYc4ACGN91fZQoaAZoCWgPQwinr+drFvduQJSGlFKUaBVL4GgWR0CbmIDCxeLOdX2UKGgGaAloD0MIDjFe86omc0CUhpRSlGgVS9poFkdAm5jEC3gDR3V9lChoBmgJaA9DCJQXmYDft3JAlIaUUpRoFUvVaBZHQJuY180DU3J1fZQoaAZoCWgPQwi/Khcq/yZuQJSGlFKUaBVL1mgWR0CbmXk/KQq7dX2UKGgGaAloD0MIzO80mfETcECUhpRSlGgVS99oFkdAm5mY+wC8vnV9lChoBmgJaA9DCEPLun+sB3BAlIaUUpRoFUvUaBZHQJublqZc9nt1fZQoaAZoCWgPQwh3o4/5wIlyQJSGlFKUaBVL0mgWR0CbnC+wkgOjdX2UKGgGaAloD0MIXDy858CdckCUhpRSlGgVS+xoFkdAm5wvepGWlnV9lChoBmgJaA9DCJyIfm39P3JAlIaUUpRoFUvvaBZHQJudFj2Bas91fZQoaAZoCWgPQwjOwwlMZ7twQJSGlFKUaBVL8mgWR0CbnR7tiQT3dX2UKGgGaAloD0MI8nwG1JuGcECUhpRSlGgVS8doFkdAm52gQpWmxnV9lChoBmgJaA9DCGIs0y9RzXJAlIaUUpRoFUvsaBZHQJudrh3qzJJ1fZQoaAZoCWgPQwi8PQgBecNyQJSGlFKUaBVNEAFoFkdAm54fJFLFoHV9lChoBmgJaA9DCL9J06Do5W9AlIaUUpRoFUvhaBZHQJuejwx33Yd1fZQoaAZoCWgPQwgu5ueGplZiQJSGlFKUaBVN6ANoFkdAm574OpbUw3V9lChoBmgJaA9DCDKrd7id1HFAlIaUUpRoFUvhaBZHQJue/38GcF11fZQoaAZoCWgPQwjCNXf0/01wQJSGlFKUaBVL6WgWR0CbnyFx4ptrdX2UKGgGaAloD0MIj6m7sgujcUCUhpRSlGgVS/5oFkdAm59ioCMglnV9lChoBmgJaA9DCHzUX68wrXJAlIaUUpRoFUvvaBZHQJuf6h7E5yV1fZQoaAZoCWgPQwjYutQI/VlxQJSGlFKUaBVL7WgWR0Cbn/xh2GIsdX2UKGgGaAloD0MIYkuPpvpAb0CUhpRSlGgVS9doFkdAm6HptSAH3XV9lChoBmgJaA9DCJXx7zOufnFAlIaUUpRoFUvZaBZHQJuh+mMwUQF1ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 492, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}